public static string GetFittedDataPreview(ref Culture culture, NeuralParameters parameters)
{
var raw = Modules.Clone(culture.GrowthMeasurements.GetMeasurements(DataType.Raw));
var fitted = Modules.ProccessedAndFitDatapoints(raw, 0, parameters, TrueODCalibartionFunction);
culture.GrowthMeasurements.SetMeasurements(fitted, DataType.ProcessedFitted);
var lag = new MacroLagData();
var yield = new MacroYieldData();
var gt = new MacroRateData();
if (Modules.NoGrowth(fitted))
{
lag.Lag = 48;
yield.Yield = double.NaN;
gt.GT = double.NaN;
}
else
{
lag = Modules.GetLag(fitted);
yield = Modules.GetYield(fitted);
gt = Modules.GetGT(fitted);
}
string format = "00.0000";
return(string.Format(CultureInfo.InvariantCulture, "Prev Lag = {0}, Fitted Lag = {1} \r\nPrev GT = {2}, Fitted Rate = {3} \r\nPrev Yield = {4}, Fitted Yield = {5}", culture.Lag.ToString(format), lag.Lag.ToString(format), culture.Rate.ToString(format), gt.GT.ToString(format), culture.Yield.ToString(format), yield.Yield.ToString(format)));
}
public Neural(NeuralParameters parameters)
{
_learningRate = parameters.LearningRate;
_sigmoidAlphaValue = parameters.SigmoidAlphaValue;
_neuronsInFirstLayer = parameters.NeuronsInFirstLayer;
_iterations = parameters.Iterations;
_useNguyenWidrow = parameters.UseNguyenWidrow;
_useRegularization = parameters.UseRegularization;
}
